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PopNx MCPMCP servers for people who use AI · explained in plain words

Dunstan

by BargLabsversion 0.1.16i★ –iRuns on your computer
Registry nameio.github.BargLabs/dunstan

Install

Overview

Description from the maker (original English)

Checks a coding agent's handback against the pull request's GitHub record. No model decides.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: GITHUB_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: GITHUB_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "dunstan": {
      "command": "npx",
      "args": [
        "-y",
        "dunstan",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add dunstan --env GITHUB_TOKEN=your-value -- npx -y dunstan mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "dunstan": {
      "command": "npx",
      "args": [
        "-y",
        "dunstan",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "dunstan": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "dunstan",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • GITHUB_TOKEN secret env
    Optional fine-grained, read-only GitHub token; without it, public repositories are read anonymously.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account BargLabs, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1393 servers in this category
  • Published to the registry more recently than 93% of the other 1393 servers in this category
  • Basic checks equal to or better than 100% of the other 1393 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Dunstan safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GITHUB_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.16) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
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Desktop Commander

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MCP server for terminal commands, file operations, and process management

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Cloudflare MCP

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Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Dunstan

Verify an AI coding agent's pull request claims, with a verdict anyone can rerun. The agent says which files it changed, which tests ran and which issues it closed; Dunstan checks each claim against the pull request, its commits and its CI runs, and reports the verdict as a check run. Every verdict comes with a record: dunstan verify recomputes it offline and dunstan rerun re-reads the sources, so a reviewer or customer can check it themselves. Deterministic, no LLM.

Add it to a workflow; the agent's report goes in the pull request body (npx -y dunstan template --base main writes the block for you):

on:

pull_request: types: [opened, edited, synchronize, reopened, ready_for_review] permissions: contents: read pull-requests: read issues: read deployments: read checks: write actions: read jobs: handback: runs-on: ubuntu-latest steps:

  • uses: BargLabs/dunstan@v0.1.16 # pin the full commit SHA in production with: report-source: pr-body

More in docs/action.md.

Dunstan holds a coding agent's completion report to the record.

An agent finishes and writes a handback: files changed, tests run, references closed, head commit, merged at. Dunstan reads a declared block in that handback and checks each claim against the repository's own record (pull request state, changed files, commits, CI runs) with deterministic checks. It writes a record anyone can re-run on their own machine and get the same verdict.

  • No model decides pass or fail.
  • Fail closed: a claim the record cannot answer is unverifiable, never a pass by absence.
  • Evidence, not a gate: Dunstan returns a record; your branch protection decides what blocks.

The claim format, the block an agent declares and the record Dunstan writes, is an open specification: spec/claim-format.md, with JSON Schemas in spec/schema/ and examples in spec/examples/. A record is an in-toto Statement. How it reads in in-toto, SLSA and PER terms, and what does not carry over: docs/interop.md (informative; no export exists).

Use with Claude

Dunstan ships as a Claude Code plugin: three MCP tools and a skill that has Claude declare, check and report a pull request's handback before it says done (plugins/dunstan/).

Install. In Claude Code:

/plugin marketplace add BargLabs/dunstan

/plugin install dunstan@barglabs

The plugin runs the MCP server with npx -y dunstan@0.1.16 mcp, the dunstan npm package at that exact version: one self-contained file, no dependencies.

The token. When you enable the plugin, Claude Code asks for an optional GitHub token and keeps it in your system's secure credential store. Use a fine-grained personal access token with read-only permissions, limited to the repositories you check, with an expiry; the permissions are in docs/mcp.md. Leave it empty to read public repositories anonymously. Two kinds of claim need a token, even on a public repository: GitHub's GraphQL API refuses anonymous calls, so a closes reference is unverifiable, never fail; and GitHub answers an artifact download only with a token (401 "Requires authentication" anonymously, observed 2026-11-02), so a tests count is unverifiable (source_unreadable:artifact). The plugin never reads a token from your environment.

What it reads, and from where. The server runs on your machine and calls GitHub's API directly from it: the pull request, its changed files, commits, check runs, workflow runs and test artifacts, deployments, and the issues the block references. Every request is a read. Nothing is written to GitHub or to the repository, and nothing is sent to Barg Labs.

Try it. Three prompts on a public Barg Labs pull request:

  1. Use Dunstan to check this handback for BargLabs/cejel#408: head commit 35d6201d00cf926f9af10df61bfec05b6624ee12, files changed .github/workflows/verify-published-windows-binary.yml and scripts/validate-distribution-metadata.mjs, merged at 2026-10-04T13:30:48Z. Every claim holds, so the verdict is pass.
  2. Before I report BargLabs/cejel#408 as done, use Dunstan to list the claims in this report that my handback block does not declare: followed by the report and its dunstan-handback block. Dunstan lists each prose claim the block leaves out, such as a test count or a closes, with the field that would declare it. It is never a verdict.
  3. Use Dunstan to check whether BargLabs/cejel#408 closes #407, with head commit 35d6201d00cf926f9af10df61bfec05b6624ee12 and the same two files. Without a token the closes row is unverifiable (source_unreadable:closing_references): the record could not settle it, which is not the same as false. With a token it is pass.

Support. GitHub issues or team@barglabs.ai. Privacy and terms.

The checker

pnpm install && pnpm build          # writes dist/dunstan.mjs and prints its SHA-256

Check a pull request against the report it names (exactly one report source).

GITHUB_TOKEN=... dist/dunstan.mjs check --repo --pr --report-pr-body --out record.json

or --report-file , or --report-comment-author (that author's latest comment)

dist/dunstan.mjs verify record.json # offline: recompute claims, verdict and digests dist/dunstan.mjs rerun record.json # online: re-read the sources, report evidence_changed

Exit codes: 0 pass, 1 fail, 2 unverifiable, 3 no record: a usage error, a pull request that cannot be read or that moved while it was checked and again when checked once more (pull_request_moved), or an internal error (verify: 0 verified, 1 not). --sign-key --signer writes the record as its JCS bytes with a detached SSH signature; verify --sig --allowed-signers checks it.

dist/dunstan.mjs mcp serves the same checker as an MCP tool, dunstan_check_handback, which an agent calls with its block before it says done, beside dunstan_suggest_declarations (below): docs/mcp.md.

checker.digest in a record is the SHA-256 of dist/dunstan.mjs, the single-file bundle that ran: the checker code, its dependencies and both schemas from spec/schema/, inlined at build time.

What Dunstan does not check

Dunstan checks the claims a handback declares against the record. It does not check that the handback covers what the issue asked for: an accurate report of the wrong work passes.

What to declare: docs/agents.md.

Survey: how much of a repository's handbacks can be checked

dunstan survey (DRAFT) runs dunstan check over a repository's recent closed pull requests and reports settleability: which claims the record could not settle, why, and what would let it settle them. It is read-only and needs no token to start.

dist/dunstan.mjs survey --repo <owner/name> --last 30 [--author <agent-login>] --out survey.json --summary survey.md

dist/dunstan.mjs verify survey.json # offline: every embedded record, the selection, the aggregate and the digest

It reports two rates, each with its numerator, denominator and Wilson 95% interval:

  • the share of claims the record could not settle, (unverifiable + not record-checkable) / all claims, led by a table of the reasons, each with its remedy;
  • the share of settled claims the record contradicts, contradicted / (supported + contradicted).

With --advisory it also runs the advisory prose reader and counts its notes in a table of their own. Advisory notes never enter either rate. A tests claim can be settled only with GITHUB_TOKEN set and a JUnit record that CI uploads: GitHub serves no artifact to an anonymous reader, and a test run CI never recorded, or a local run declared as one, is not record-checkable. The survey record says whether it read with a token, and an anonymous survey's summary says its cannot-settle share is higher for it. The survey measures what the record can settle. A survey record is unsigned: verify proves it consistent with itself and every embedded record valid, not that its listing is what GitHub returned, so to trust its completeness, run it again online. Details: docs/survey.md.

Declare before done

Checking a declared claim is exact. Finding the claims in prose is where readers fail: a hosted model judge clears far fewer false reports once it is handed the right paragraph, and Dunstan's own extractor missed the planted false claims it was tested on. Both fail at the reading, not at the checking. The agent that wrote the report is its best reader, and it is still there before handback. So Dunstan makes the block nearly free to write, then asks the author about the prose the block does not cover:

dist/dunstan.mjs template                         # the block for HEAD, filled from local git

dist/dunstan.mjs suggest --report-file report.md # prose claims the block does not declare

template fills headCommit and filesChanged (HEAD against its merge base with the remote's default branch, or --base). With --tests-ci it fills tests from the JUnit record CI published at HEAD, read as the gate reads it; with --tests-local it declares a local run as one (below). It never fills references or mergedAt, and when git cannot answer it prints no block. suggest runs the advisory extractor over the prose outside the fence and lists each claim it proposes that the block does not declare, to declare or reword. It is never a verdict, writes nothing to a record and always exits 0; the MCP server offers it as dunstan_suggest_declarations. The loop, an instruction block to copy into AGENTS.md or CLAUDE.md, and example output: docs/agents.md.

Make test claims checkable

Most claims about tests in a completion report ("all tests pass", "142 passed") cannot be checked from a repository's records today: the tests ran on the agent's machine, or CI ran them and published no counts. Dunstan settles a tests claim only against a JUnit file a CI run uploaded. Two changes make such claims checkable:

  1. CI publishes the record. One upload step after the test command: an artifact named dunstan-junit holding junit.xml, uploaded even when the tests fail. Recipes for pytest, jest, vitest, Maven, Gradle and Go, with dunstan junit-merge for runners that write one file per test class: docs/ci-test-records.md.
  2. The agent declares CI's counts. After CI has finished on its last push, dunstan template --tests-ci --tests-command --tests-workflow --tests-job reads the counts from that record, as the gate will, and declares them. A run made only locally is declared with --tests-local as {"kind": "local"}, which the gate reports unverifiable (local_run_not_in_record), never pass.

Reading the artifact needs a token: without one a tests row is unverifiable (source_unreadable:artifact). Each tests row the record cannot settle is printed with a remedy: line saying what to do.

The GitHub Action

One step in a workflow, one required check in branch protection:

permissions: { contents: read, pull-requests: read, issues: read, deployments: read, checks: write, actions: read }

steps:

  • uses: BargLabs/dunstan@ with: report-source: pr-body # or comment: , or file:

It writes a dunstan check run on the head commit whose summary is the claims table, the record as the artifact dunstan-record, and the same table in the job summary. Only pass concludes `succes

Only the beginning is shown; read the rest in the repo

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